e Model - An evolutionary process modeling tool that discovers data relationships between variables and a desired output. e provides the actual equations. As it solves problems, it learns from derived solutions, becoming smarter with experience. e may be applied to any engineering problem, control, numerical analysis, pattern recognition, etc. Developed by System Dynamics International, Inc., e will solve complex, scientific and engineering problems and return the solution in a straightforward, easy format.

Example 1          Example 2

Example 1

This display shows the graphical interface illustrating the results of an e modeling session.  The data is the radius and area of a circle.  e model successfully found the equation which is area = p r2, where p is 3.14159 and r is radius. e Model has been successfully used for modeling systems with over nine variables and provides the actual equation to model the process. Results for a polymer plant process show a relative error and standard error deviation reduction of 50% when compared to neural networks using the same data for modeling, testing, and on-line prediction.

Example 2

This display shows the graphical interface illustrating the results of an e modeling session. The e Model algorithm correctly fit the data for the equation y = minus the square root of x.

 

 

 

 

 

 

 

 

 

 

 

 

 
  • Fitness History:   based on the scores computed in past evolutionary processes. The Fitness Graph displays the progress of each ecosystem.
  • Score Diversity:   used to determine the fitness of each entity in the ecosystem population. The score diversity plot shows the distribution of scores in each population.
  • Truth and Prediction:  The output values are calculated from each row of data and then compared to the training table data. "True" values are then plotted against "Calculated" values to display the progress of each evolutionary pass.
  • Output Code:   Derived solutions are straightforward, understandable, and in a very useable format of pseudo code, C, FORTRAN, or Basic.

What is an Evolutionary Algorithm? e uses a process modeled after biological evolution to evolve computer programs. Randomly generated populations of computer code which represent candidate solutions to your problem are evaluated for fitness and then selected to parent the next improved generation of programs. For example, use e to find a signal processing algorithm, to encapsulate a calibration table, to discover a securities buy/sell rule, or to evolve a decision algorithm.

Visit the web site of System Dynamics International (SDI).   This high technology engineering services firm has designed this advanced Evolutionary Algorithm Tool to solve very difficult problems with software for the engineering and scientific industries.

Extensive evaluations made by QMC found e Model to be the highest quality program available. A comparison for the results of three modeling approaches for a polymerization process is available.

KEY BENEFITS

  • e minimizes preparation effort and optimizes your time
  • Provides the actual equations
  • No initial assumptions are needed

Use e whenever you need to discover the relationship (algorithm, model, control law, etc.) between variables and a desired output. e Model has been successfully used for modeling systems with over nine variables and provides the actual equation to model the process. Results for a polymer plant process show a relative error and standard error deviation reduction of 50% when compared to neural networks using the same data for modeling, testing, and on-line prediction.

KEY FEATURES

  • Model is evolved at solution time
  • Variety of solutions are explored
  • Computer software searches for solution
  • Solution is as good as empirical data collected
  • Solutions are easily adapted to changing requirements
  • Libraries of past learning are used for new problems.
  • Outputs to C, FORTRAN, or Basic

USE FOR

  • Pattern Recognition
  • Numerical Analysis
  • Sensor Fusion
  • Component Response
  • Economics
  • Engineering
  • Signal Processing
  • Mathematics
  • System Response
  • Control and others

SYSTEM REQUIREMENTS

Computer:
Processor/Speed 486/66 MHz, IBM Compatible PC
Memory:
8 MB RAM
Disk Space:
8 MB
Operating System:
Windows 31, 95, NT
 

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